Pattern Recognition

강의노트

1. Computer Vision 소개

2. Machine Learning AI 소개

3. 전통적인 접근법

4. SVM-1

5. SVM-2

6. TesnsorFlow로 NN 실험

7. TensorFlow로 Regression 실험

8. CNN Motivation

9. AlexNet

10. Understanding CNN

11. Backpropagation-1

12. Backpropagation-2

13. SGD

14. Object Detection

15. Object Segmentation

16. RNN

17. LSTM

18. Statistical Machine Translation

19. Video Processing

20. Reinforcement Learning

21. AlphaGo

[기타]

0. Transposed Convolution

1. Word Embedding

2. Transfer Learning

3. Server 사용법